A simple way to create multi-level statistic tables that integrates with the dplyr syntax.

This is sorely missing from the `tidyverse`

. There are a few multi-dimensional table creating packages and functions, notably `ftable`

and the `tables`

package. But I find this to be a more natural extension to the `dplyr`

workflow process, and I need something that will easily `knit`

to html.

So far its just a simple wrapper around some `tidyr`

commands that reshape the data into the desired multi-table structure.
Next step is to add/fix headers, and enhance the options....

For a brief example try the code below :

Based on `iris`

- I add another 2 random dimensions:

```
irist <- cbind(iris
,dum = c(rep(0,75),rep(1,75))
,dum2 = c(rep("a",45),rep("b",105)))
```

Now lets use `dplyr`

syntax to create a few statistics by the dimensions and pipe it along to `dplyab`

:

```
irist %>%
group_by(Species, dum, dum2) %>%
summarise_at(vars(Sepal.Length), funs(n(),sd, mean)) %>%
dplytab( row_by = c("dum2", "Species")
,col_by = c("dum"))
```

And this can easily extend to multiple analysis variables as well. For example:

```
irist %>%
group_by(Species, dum, dum2) %>%
summarise_at(vars(Sepal.Length, Sepal.Width), funs(n(),sd, mean)) %>%
dplytab( row_by = c("dum2", "Species")
,col_by = c("dum"))
```

- The table will be arranged in the order the variables are provided
- All Coloumn and row variables need to be provided (currently)

Next stages include:
* Defining a class and print method for knitr
* Adding options to the order of the statistics displayed
* Adding totals and subtotals to row and/or coloumn statistics

danmsf/dplytab documentation built on May 23, 2019, 3:12 p.m.

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